Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Big Data 228

Big Data Retail Data Modelling Planning 228

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 303

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 303

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Big Data 216

Big Data Data Analytics Data Analytics Data Modelling 216

Astera

MAY 30, 2024

One MIT Sloan Review research revealed extensive data analytics helps organizations provide individualized recommendations, fostering loyal customer relationships. What Is Big Data Analytics? Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Data Warehouse 325

Data Warehouse Data Modelling Monitoring Business Intelligence 325

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 214

Data Warehouse Data Quality Data Analytics Data Analytics 214

Sisense

JANUARY 15, 2021

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. It’s no secret that data teams are becoming indispensable to organizations.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. These include dimensional models and data vaults.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

NOVEMBER 28, 2022

Data warehouses will play a crucial role in data management — perhaps more than ever. However, the pendulum swing towards utilizing unstructured data and supporting big data environments has added to the challenges of maintaining a centralized repository of accurate and complete data. Far from it!

Data Warehouse 52

Data Warehouse Data Modelling Data Management Data Automation 52

Sisense

JANUARY 14, 2021

However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Astera

APRIL 27, 2023

The modern data stack (MDS) is a collection of tools for data integration that enable organizations to collect, process, store and analyze data. Being based on a well-integrated cloud platform, modern data stack offers scalability, efficiency, and proficiency in data handling.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Insight Software

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Data Analytics Finance Visualization 52

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Data Mining 115

Data Mining Big Data Planning Data Modelling 115

Astera

NOVEMBER 14, 2023

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals. Perhaps, the real value of this approach is seen in the business benefits organizations can yield with its implementation.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Digital Transformation Product Management 86

The BAWorld

MARCH 15, 2024

Thereby, learning visualization software such as Tableau can enhance your abilities as a data Analyst. This is the premier software used industry wide that enables you to display your analysis on dashboards, make data models, renderings and business intelligence reports.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

Astera

MARCH 7, 2024

Data now heavily impacts businesses at all levels, from everyday operations to strategic decisions. This growing role has driven the global business intelligence (BI) and analytics tools market to an estimated value of nearly $17 billion. Aims to ensure that all data follows the data model’s predefined rules.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. But unstructured data is no longer dark data, unavailable for analysis. are available in an unstructured format.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 25, 2023

Finally, we’ll discuss why Astera Centerprise is the ultimate tool for managing your data regardless of which database you decide to use. PostgreSQL is an open-source database system that offers extensive data model flexibility. It allows users to have greater control when designing their data model for complex queries.

E-Commerce 52

E-Commerce Data Security Data Modelling Big Data 52

Sisense

FEBRUARY 24, 2021

Data space dimension: Traditional data vs. big data. This dimension focuses on what type of data the CDO has to wrangle. Traditional datasets are often relational data found at the core of transactional services and operations: Think of an accounting system or point-of-sale system that spans multiple locations.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Sisense

JANUARY 6, 2021

Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Here are some of your options: Model: Blend big data from a variety of sources into Sisense machine learning algorithms. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. A NoSQL database is a non-relational database that stores data in a format other than rows and columns. The two most popular options are SQL and NoSQL databases.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Insight Software

NOVEMBER 21, 2023

Since then, technology has improved in leaps and bounds and data management has become more complicated. As a response to emerging technology, data lakes took off along with the rise of big data. To address this, the data lakehouse was born.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM cost Supply Chain 52

Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

The BAWorld

APRIL 11, 2022

This credential demonstrates subject matter knowledge in using Microsoft Power BI to derive data insights and present them in easy-to-understand visualizations. This degree allows holders to develop scalable data models, clean and transform data, and enable sophisticated analytics. CCA Data Analyst.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

The BAWorld

APRIL 11, 2022

This credential demonstrates subject matter knowledge in using Microsoft Power BI to derive data insights and present them in easy-to-understand visualizations. This degree allows holders to develop scalable data models, clean and transform data, and enable sophisticated analytics. CCA Data Analyst.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

Sisense

JUNE 16, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. This piece was originally published on Search Business Analytics.

E-Commerce 69

E-Commerce Digital Transformation Planning Big Data 69

Data Pine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. If all this is true, what is the problem with statistics?

Digital 145

Digital Healthcare Data Visualization Data Mining 145

The Data Administration Newsletter

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Master Data Management 78

Master Data Management Data Quality Data Modelling Data Governance 78

The Data Administration Newsletter

AUGUST 31, 2021

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization.

Data Visualization 94

Data Visualization Visualization Data Modelling Big Data 94

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52